Moss Results scraper with powerful insights & analysis 💡
Install using pip from PyPI
pip install plagcheckor directly from GitHub if you cannot wait to test new features
pip install git+https://github.com/codeclassroom/PlagCheck.git"""Usage example"""
import os
import pprint
from plagcheck.plagcheck import check, insights, share_scores
from dotenv import load_dotenv
load_dotenv()
language = "java"
userid = os.environ["USER_ID"]
moss = check(language, userid)
moss.addFilesByWildCard("testfiles/test_java*.java")
# or moss.addFile("testfiles/test_python.py")
moss.submit()
print(moss.getHomePage())
result = moss.getResults()
pprint.pprint(result)
# print potential distributor-culprit relationships
pprint.pprint(insights(result))
# print frequency of each shared solution
pprint.pprint(share_scores(result))